Our first experiment consists of natural images taken from the Berkeley segmentation benchmark [1]}. This dataset provides an important initial check of our model as while they have different characteristics from the medical images that are the primary focus of our work, we seek a model that is flexible enough to handle arbitrary image structures as well. Furthermore, natural images are often more intuitively analyzed by humans and thus serve as an important initial sanity check.
